Applicability of the B.E.T method for obtaining surface areas in metal-organic frameworks

Krista S. Walton*, Houston Frost, Randall Q. Snurr

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Metal-organic frameworks (MOF) have emerged as an important class of porous materials that have the potential to be designed and functionalized for use in applications such as separations and catalysis. They have recently garnered much attention as possible materials for storing hydrogen or natural gas. Monte Carlo simulations were used to calculate nitrogen adsorption in several different classes of MOF. The BET surface areas were determined from the calculated isotherms and compared with available experimental results. The accessible surface areas directly from the crystal structures were also calculated. Comparison of the accessible surface area with the BET area from the simulated isotherms allows for a critical test of the applicability of the BET method to these ultra-high surface area materials. Layering of the adsorbed molecules within the MOF was also shown to test the underlying assumptions of the BET method. The BET and accessible surface areas were studied with respect to MOF properties such as pore size, pore shape, and free volume. These results and recommendations for the most useful definition of MOF surface areas are presented. This is an abstract of a paper presented at the 2006 AIChE National Meeting (San Francisco, CA 11/12-17/2006).

Original languageEnglish (US)
Title of host publication2006 AIChE Annual Meeting
StatePublished - 2006
Event2006 AIChE Annual Meeting - San Francisco, CA, United States
Duration: Nov 12 2006Nov 17 2006

Publication series

NameAIChE Annual Meeting, Conference Proceedings

Other

Other2006 AIChE Annual Meeting
Country/TerritoryUnited States
CitySan Francisco, CA
Period11/12/0611/17/06

ASJC Scopus subject areas

  • Biotechnology
  • General Chemical Engineering
  • Bioengineering
  • Safety, Risk, Reliability and Quality

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